Unsupervised Text Categorization Method Using Wikipedia Content and Linking Information
碩士 === 國立雲林科技大學 === 資訊管理系碩士班 === 101 === With the rapid growth of the Internet, huge amount of text documents has been generated. How to classify the huge quantity of text documents into correct categories is a complex task. Scores of supervised learning algorithms have been proposed for text catego...
Main Authors: | Cheng-han Tsai, 蔡承翰 |
---|---|
Other Authors: | Chung-chian Hsu |
Format: | Others |
Language: | en_US |
Published: |
2013
|
Online Access: | http://ndltd.ncl.edu.tw/handle/25779286117141393805 |
Similar Items
-
Unsupervised Topic Labeling of Text Based on Wikipedia Categorization
by: Tetyana Loskutova
Published: (2019-08-01) -
Enhance Performance of Unsupervised Text Categorization by Using External Information
by: Chun-Chih Chang, et al.
Published: (2014) -
Automatic Text Categorization Model Based on Genetic Algorithm
by: Cheng-Han Yang, et al.
Published: (2013) -
Knowledge categorization affects popularity and quality of Wikipedia articles.
by: Jürgen Lerner, et al.
Published: (2018-01-01) -
Text Entailment based on English Wikipedia
by: Lin, Po Cheng, et al.